AI Engineering
Grounded RAG, agentic workflows and production LLM applications.
AI & DevOpsEngineer
I am Akif Hameed, an AI and DevOps Engineer in London. I build production AI systems and the cloud infrastructure around them.
AI ENGINEER / DEVOPS ENGINEERCLOUD ENGINEER / AGENTIC SYSTEMS
MSc COMPUTER SCIENCEDISTINCTION
// FROM QUESTION TO PRODUCTION
RESEARCHSHIPPED.
Turning evaluated AI research into useful, observable products that people can actually use.
// CAPABILITIES
AI reach,
cloud depth
Four years across Linux systems, cloud delivery and applied AI. I work from research design to a deployed, observable service, bringing model work and infrastructure together.
Agentic Systems
Multi-stage systems that retrieve, reason, validate and respond.
Cloud & DevOps
Container platforms, automated delivery and observable runtime systems.
Applied ML / CV
Deep learning, anomaly detection and evaluated predictive pipelines.
$ initialise intelligence_stack
rag_pipeline = grounded
citations = validated
refusal_policy = safe
✓ system ready 128ms
AI Engineering
RAG applications, LLM orchestration and evaluation systems that connect research capability with real user needs.
Explore the work →$ run agent_graph
planner ONLINE
retriever ONLINE
validator ONLINE
response GROUNDED
Agentic LLM Systems
Structured AI workflows that plan, retrieve evidence, validate citations and apply safe refusal behaviour.
View case study →$ evaluate anomaly_models
AE complete
Deep AE complete
Denoising complete
VAE complete
Applied ML & CV
PyTorch and TensorFlow research workflows, tuned model families and feature-group ablation for measurable comparison.
Read the research →$ terraform apply
aws_instance created
cluster healthy
service available
outputs published
Cloud Engineering
AWS and GCP environments designed for secure deployment, predictable scaling and dependable operation.
View credentials →$ deploy --production
build passed
container published
kubernetes rolled out
health 200 OK
DevOps Delivery
Docker, Kubernetes, Jenkins, GitHub Actions and GitOps workflows that make releases repeatable and observable.
View pipeline →$ serve product_stack
frontend React
api FastAPI
data PostgreSQL
status LIVE
Product Engineering
Python, Django, FastAPI, JavaScript, TypeScript and React used to turn models into complete applications.
Explore projects →// THE PATH
THE JOURNEY
From Pakistan to London. Four years progressing from systems administration through DevOps engineering and towards AI Solutions Architecture.
MASTER OF SCIENCE • COMPLETED
MSc Computer Science
London South Bank University • London
Awarded an MSc in Computer Science with Distinction. Dissertation research focused on anomaly detection in human-robot collaboration using hyperparameter-tuned autoencoder families and systematic feature-group ablation.
DistinctionDeep LearningPyTorchHRC Robotics
DevOps Engineer
Tycoon Soft • Lahore
Built AWS environments, containerised applications, supported CI/CD pipelines and automated reliable release processes.
AWSDockerKubernetesJenkins
Junior DevOps Engineer
Nexus Limited • Lahore
Maintained delivery workflows, supported Linux environments and improved repeatable deployment through automation and version control.
LinuxGitCI/CDAutomation
System Administrator
Nexus Limited • Lahore
Administered Ubuntu systems, access controls, software updates, services, backups and day-to-day technical operations.
UbuntuSSHSecurityBackups
// SELECTED WORK
THINGS I'VE SHIPPED
Applied AI and cloud systems built from research to working product.
KEEP SCROLLING, THE WORK STACKS UP05FEATURED SYSTEMS
SYSTEM.ONLINE01 / STATUS: LIVE
LexUK Tenancy Chatbot
Citation-grounded RAG and agentic legal assistant over 12 UK tenancy statutes, with retrieval evaluation, citation validation and safe refusal.
12STATUTESRAGRETRIEVALSAFEREFUSAL
PythonOpenAIChromaDBGradio
MODEL.SERVING02 / STATUS: LIVE
HousePredict England
A property prediction platform trained from approximately 4.5 million Land Registry transactions and delivered through a production web stack.
4.5MRECORDSMLLIGHTGBMAPIFASTAPI
LightGBMReactSupabaseFastAPI
CODE→BUILD→SHIP→RUN
AWSKUBERNETESPIPELINE.HEALTHY
03 / STATUS: DEPLOYED
AWS Kubernetes CI/CD
A containerised delivery architecture using Jenkins, Kubernetes and Nginx on AWS EC2 for repeatable application release.
AWSCLOUDK8SRUNTIMECI/CDJENKINS
DockerKubernetesJenkinsNginx
ANOMALY
DETECTEDHRC.RESEARCH
04 / STATUS: RESEARCH
HRC Anomaly Detection
Hyperparameter-tuned autoencoder families for anomaly detection in human-robot collaboration, tested through feature-group ablation.
04AE FAMILIESROCAUCPRAUC
PyTorchAE / DAE / VAEAblation
SCIENTIFIC.ML05 / STATUS: COMPLETE
Volcanic Age Classifier
A supervised learning comparison of MLP, logistic regression and SVM models for volcanic age classification from geochemical measurements.
03MODELSMLPNEURALSVMBASELINE
TensorFlowscikit-learnGeochemistry
// VERIFIED LEARNING
REAL
CREDENTIALS
“
Cloud foundations validated through the AWS Certified Cloud Practitioner credential.
AWS
“Cloud Practitioner
AUGUST 2026 • VERIFIED ↗Artificial intelligence foundations and responsible AI services validated by AWS.
AWS
“AI Practitioner
JULY 2026 • VERIFIED ↗Practical Kubernetes foundations covering workloads, services and cluster operations.
KODEKLOUD
“Kubernetes
JUNE 2026 • VERIFIED ↗Container fundamentals validated through hands-on Docker training.
KODEKLOUD
Docker
FEBRUARY 2026 • VERIFIED ↗SO I BUILD AI SOLUTIONS
FOR THE FUTURE
TRANSFORMING FROM DEVOPS ENGINEER TO AI SOLUTIONS ARCHITECT
// THE PROOF
BY THE NUMBERS
Real signals from real work. No vanity metrics.
Years in technology
Experience across systems administration, DevOps engineering and applied AI.
Property records
Real Land Registry transactions used in the HousePredict workflow.
UK statutes
Legislative sources indexed for the LexUK tenancy assistant.
Credentials
Industry training across AWS, artificial intelligence, Docker and Kubernetes.
ACADEMIC MILESTONERESULT CONFIRMED • 05 OCT 2026
LONDON SOUTH BANK UNIVERSITY
COMPUTER SCIENCE
WITH DISTINCTIONA completed postgraduate degree connecting advanced computing, AI research and production engineering. The dissertation developed and evaluated hyperparameter-tuned autoencoder models for anomaly detection in human-robot collaboration using UR5e robotic data.
98%Statistics + Optimisation93%Computer Architecture + OS87%Container Orchestration
View redacted confirmed result ↗
Privacy-safe extract. The complete academic record is available privately when required.
// LET'S TALK
LET'S BUILD
SOMETHING REAL
AI and DevOps Engineer in London, building grounded AI applications and production cloud systems. Open to meaningful opportunities and collaborations.
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